Statistics and Data Science

Overview

KU Leuven organizes regular online info sessions. You can find more information on the KU Leuven website.

About the programme

The Master of Science in Statistics and Data Science is offered by the Leuven Statistics Research Centre (LStat), a privileged meeting space for statistics and data science researchers from a range of different domains and a stimulating environment for multidisciplinary statistical and data science research. You'll be trained intensively in both the theoretical and practical aspects of statistics and data science. The programme will help you develop a problem-solving attitude and teach you how to apply statistical methodology.

To tailor-make the programme to your needs and interests, you can choose one of the tracks:

• Statistics and Data Science for Biometrics
• Statistics and Data Science for Social, Behavioural and Educational Sciences
• Statistics and Data Science for Business
• Statistics and Data Science for Industry
• Theoretical Statistics and Data Science
• Interdisciplinary Statistics and Data Science
• European Master of Official Statistics (EMOS, on-campus only)

The programme can be followed either on campus in Leuven or in an online/blended format. When you choose the online/blended format, it is possible to compose your programme by only selecting courses that are offered fully online, and to graduate from the programme without ever coming to Leuven. 

Career perspectives

As statistician and data scientist, you may find yourself designing clinical trials and supporting the biomedical sector,  setting up and analysing psychological tests and surveys, performing financial risk analyses, statistically managing R&D projects and quality controls, developing statistical software, working in academics ...

The applications of statistics and data science are very diverse, just like your professional options. In our programme, you will gain all the necessary experience and insights to efficiently complete data related challenges in any professional context. We are delighted to welcome you.